
\begin{table}
\begin{center}
\begin{tabular}{l D{)}{)}{9)3} D{)}{)}{9)2} D{)}{)}{9)1} D{)}{)}{9)2} D{)}{)}{9)1}}
\toprule
 & \multicolumn{1}{c}{Care} & \multicolumn{1}{c}{Fairness} & \multicolumn{1}{c}{Loyalty} & \multicolumn{1}{c}{Authority} & \multicolumn{1}{c}{Sanctity} \\
\midrule
GAL-TAN (CHES)           & 0.13 \; (0.10)        & 0.13 \; (0.10)       & 0.23 \; (0.09)^{*} & 0.30 \; (0.09)^{**}  & -0.02 \; (0.11)     \\
Year                     & 0.24 \; (0.10)^{*}    & 0.24 \; (0.11)^{*}   & 0.10 \; (0.10)     & 0.09 \; (0.10)       & -0.08 \; (0.11)     \\
Government Participation & -0.79 \; (0.21)^{***} & -0.65 \; (0.22)^{**} & -0.07 \; (0.20)    & -0.58 \; (0.20)^{**} & -0.53 \; (0.24)^{*} \\
\midrule
AIC                      & 221.22                & 228.25               & 216.91             & 217.59               & 240.32              \\
BIC                      & 235.59                & 242.62               & 231.28             & 231.96               & 254.69              \\
Log Likelihood           & -104.61               & -108.13              & -102.46            & -102.80              & -114.16             \\
Num. manifestos          & 81                    & 81                   & 81                 & 81                   & 81                  \\
Num. groups: countries   & 7                     & 7                    & 7                  & 7                    & 7                   \\
Var: Country (Intercept) & 0.36                  & 0.23                 & 0.41               & 0.23                 & 0.14                \\
Var: Residual            & 0.63                  & 0.72                 & 0.59               & 0.62                 & 0.86                \\
\bottomrule
\multicolumn{6}{l}{\scriptsize{$^{***}p<0.001$; $^{**}p<0.01$; $^{*}p<0.05$}}
\end{tabular}
\caption{Regression table for all English-translated manifestos, scored with MoralBERT for the dimension Vice.}
\label{tab:app_reg_trans_moralbert_vice}
\end{center}
\end{table}
